Vlsi for Neural Networks and Artificial Intelligence

Analog Circuits for Neural Networks: Analog VLSI Neural Learning Circuits (H.C. Card). An Analog CMOS Implementation of a Kohonen Network with Learning Capability (O. Landolt). BackPropagation Learning Algorithms for Analog VLSI Implementation (M. Valle et al.). Digital Implementations of Neural Networks: A VLSI Pipelined Neuroemulator (J.G. DelgadoFrias et al.). A Low Latency Digital Neural Network Architecture (W. Fornaciari, F. Salice). The MANTRA Project (M.A. Viredaz et al.). Neural Networks on Multiprocessor Systems and Applications: VLSIImplementation of Associative Memory Systems for Neural Information Processing (A. König, M. Glesner). A Dataflow Approach for Neural Networks (J.G. DelgadoFrias et al.). Knowledge Processing in Neural Architechture (U. Rückert et al.). VLSI Machines for Artificial Intelligence: Hardware Support for Data Parallelism in Production Systems (S.H. Lavington et al.). SPACE (K. Asanovic, D.B. Howe). 19 additional articles. Index.Delgado-Frias, J. G. is the author of 'Vlsi for Neural Networks and Artificial Intelligence', published 1994 under ISBN 9780306447228 and ISBN 0306447223.